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Lidar remote sensing variables predict breeding habitat of a Neotropical migrant bird

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Title Lidar remote sensing variables predict breeding habitat of a Neotropical migrant bird
Names Goetz, Scott J. (creator)
Steinberg, Daniel (creator)
Betts, Matthew G. (creator)
Holmes, Richard T. (creator)
Doran, Patrick J. (creator)
Dubayah, Ralph (creator)
Hofton, Michelle (creator)
Date Issued 2010-06 (iso8601)
Note Copyright by the Ecological Society of America.
Abstract A topic of recurring interest in ecological research is the degree to which
vegetation structure influences the distribution and abundance of species. Here we test the
applicability of remote sensing, particularly novel use of waveform lidar measurements, for
quantifying the habitat heterogeneity of a contiguous northern hardwoods forest in the
northeastern United States. We apply these results to predict the breeding habitat quality, an
indicator of reproductive output of a well-studied Neotropical migrant songbird, the Blackthroated
Blue Warbler (Dendroica caerulescens). We found that using canopy vertical
structure metrics provided unique information for models of habitat quality and spatial
patterns of prevalence. An ensemble decision tree modeling approach (random forests)
consistently identified lidar metrics describing the vertical distribution and complexity of
canopy elements as important predictors of habitat use over multiple years. Although other
aspects of habitat were important, including the seasonality of vegetation cover, the canopy
structure variables provided unique and complementary information that systematically
improved model predictions. We conclude that canopy structure metrics derived from
waveform lidar, which will be available on future satellite missions, can advance multiple
aspects of biodiversity research, and additional studies should be extended to other organisms
and regions.
Genre Article
Topic Bird diversity
Identifier Goetz, S. J., Steinberg, D., Betts, M. G., Holmes, R. T., Doran, P. J., Dubayah, R., & Hofton, M. (2010). Lidar remote sensing variables predict breeding habitat of a Neotropical migrant bird [Electronic version]. Ecology, 91(6), 1569-1576. doi:10.1890/09-1670.1

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